39 distribution of depth and brightness parameters will be included in N class.
Therefore, the marine suitability foe seaweed will be more dominant in N class.
Figure 4-8. The comparative of area for three method for seaweed cultivation
4.5.2 Pearl Oyster Cultivation
Points of research areas for pearl oyster cultivation is the same with seaweed cultivation and 9 points of observations are pearl oyster. The remainder is
cultivation of seaweed and the others. This research was conducted in May 2009. Figure 4-1 b shows marine coastal suitability using minimum threshold criteria
maroon is water and the white color is land, the results of this approach indicated that the majority of the areas of marine coastal suitability belongs to N
classification which threshold criteria are brightness, depth, and dissolved oxygen. Figure 4-2 b shows marine coastal suitability using simple additive weighting
maroon and light blue is water area and white color is land, the results showed that marine coastal suitability is divided into two classifications such as S3 and N
classification, and the point of research for pearl oyster cultivation mostly belongs to S3 classification. Figure 4-6 b shows marine coastal suitability fuzzy set
method blue and light blue color are water area and white color is land, the results of this approach showed that marine coastal suitability are divided into two
classifications such as S3, S2, and S1, so the point of observation belongs S1 and
N 100.0
N 20.7
S3 79.3
S3 94.5
S2 0.4
S1 5.1
0.0 50.0
100.0
Threshold Criteria SAW
Fuzzy
Methods A
rea
40 S2 classification, which means this is location potential to produce maximum
commodity of pearl oyster cultivation. Table 4-5. Point of research of pearl oyster observations in the
field source: Pramono, 2009
No Id Existing
1 230 pearl oyster
2 231 pearl oyster
3 232 pearl oyster
4 233 pearl oyster
5 234 pearl oyster
6 237 pearl oyster
7 238 pearl oyster
8 239 pearl oyster
9 123 pearl oyster
All methods in figure 4-1b, 4-2b, 4-6b and Table 4-5 indicates that points of
observation for pearl oyster cultivation, have their own characteristics. Figure 4-9 shows the marine suitable using threshold criteria method which produces N
classification.
Figure 4-9 The comparative of areas method for pearl oysters cultivation The suitable marine using simple additive weighting method produce two
classifications: N and S3. S3 classification replies the biggest area than N classification. The suitable marine using fuzzy method produces three
classifications: S3, S2 and S1, which means this location is suitable for pearl
N 100.0
N 9.6
S3 90.4
S3 33.6
S2 4.9
S1 61.5
0.0 50.0
100.0
Threshold Criteria SAW
Fuzzy
Methods A
rea
41 oyster cultivation. Based on table 2-2, the data distribution of pearl oyster
cultivation for depth parameter is almost the same for S1, S2, S3 and N classes. Salinity and pH parameters the data distribution is concentrated in S1 class, the
data distribution of brightness and DO parameters is concentrated in N class, while the data distribution for temperature is concentrated in S1 class and S2 class
with the same numbers of data.
4.5.3 Comparative Three Methods
